Validated Streams is a consensus mechanism that enables a decentralized network of nodes to agree on and respond to events they observe in the world around them. It empowers developers to create on-chain applications that reactively source data from off-chain applications, while requiring confirmation of the occurrence of off-chain events from at least two-thirds of validators.
Validated Streams also acts as a fundamental building block of Apocryph, where it enables different instances of a Perper Application to agree on a stream of inputs and synchronize their state through event sourcing. The goal is to develop proactive blockchain applications with richer interactions with the off-chain world, while maintaining trustlessness and decentralization.
- Witnessing events: We have set up a demonstration of a private chain comprised of four nodes and a client that sends random events to them. See more in the
basic
sample's README. That same example also has code for testing resilience in the face of network errors. - Witnessing events from IRC: To demonstrate a more-realitic example, we have set up a sample which witnesses events from an IRC network.
- Transactions-per-second benchmark: Finally, there is a benchmark measuring TPS in the respective sample folder.
Each of validator is a Substrate node that has an attached trusted client(s). The client submits hashes representing events that have been witnessed locally. Since a malicious client would be able to fabricate or censor data at whim, it is necessary that the operators of validators don't trust other validators (or third parties in general) with the task of running trusted clients, but run their own, perhaps even collocating it with the validator node.
Upon receiving an event hash, the validator gossips the hash, signed, to other validators. This step ensures that the chain is not swamped or stalled with blocks containing unverified events, particularly when trusted clients are just beginning to witness an event. The event hash is submitted as a Substrate extrinsic only after it has been witnessed by 2/3 of the validators. Once the event is finalized through any of the usual on-chain mechanisms such as GRANDPA, it is considered validated by the Validated Streams chain.
To avoid discrepancies between on-chain and off-chain states, the finalized event hashes are sent back to the trusted clients. Depending on the use case, this information can be used to adapt the trusted client's own state to the on-chain proceedings, witness a correction to the finalized events, or report the discrepancy to the trusted client's users/operators.
The communication of hashes between the trusted client and validator node occurs over a gRPC protocol, allowing clients to be written with a wide variety of programming languages and software development frameworks.
It should be noted that the trusted client only submits hashes, and a separate solution (such as IPFS) would be required to retrieve the actual event contents.
Note It is important to note that Validated Streams will only work in chains where the total number/weight of validators is known, such as proof-of-stake or private/consortium chains. Further research may be able to lift this limitation in the future.
Storing the event proofs on-chain can be advantageous in some situations. Therefore, we provide the off-chain-proofs
feature that can be disabled by users who prefer not using it. To compile the project using on-chain proofs run the following command:
cargo build --release --no-default-features
To run the tests, use the following commands in the root directory of the project:
- Default:
cargo test -p consensus-validated-streams
- With on-chain proofs:
cargo test -p consensus-validated-streams --no-default-features --features rocksdb
-
Default:
cargo test -p pallet-validated-streams
-
With on-chain proofs:
cargo test -p pallet-validated-streams --no-default-features --features std
The other two crates, runtime
and node
, are mainly used in integration tests. We test them by running the samples/basic/run-example.sh
script as described in the respective README, and observing that the network produces validated events as an output.
- Default
cargo build --release --features runtime-benchmarks
- On-chain proofs:
cargo build --release --no-default-features --features runtime-benchmarks
- Benchmarking of the whole network: See the sample.